Zhen‐Zhong Xu

9.6k citations
56 papers · 7.5k indexed · 4 hit papers · h-index 38
Topics
Pain Mechanisms and Treatments (35 papers)Neuropeptides and Animal Physiology (19 papers)Ion Channels and Receptors (9 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Zhen‐Zhong Xu

56 papers receiving 7.3k citations

Hit Papers

Emerging targets in neuroinflammation-driven chronic pain20082026201420202014200820102012250500750

Peers

Zhen‐Zhong Xu
Comparison fields: 5 of 128
  • Physiology 3.8k
  • Cellular and Molecular Neuroscience 2.2k
  • Molecular Biology 1.7k
  • Nutrition and Dietetics 814
  • Neurology 730
Replace Eri Segi‐Nishida with:
Eri Segi‐Nishida Japan
Sean M. Ward United States
Tarek A. Samad United States
Akira Hirasawa Japan
Masayuki Saito Japan
Janós Szolcsányi Hungary
Zsuzsanna Helyes Hungary
Andrew Allchorne United Kingdom
Temugin Berta United States
Itaru Kojima Japan
Zhen‐Zhong Xu relative to Eri Segi‐Nishida Japan Eri Segi‐Nishida's profile →
Citations per field
00.5×4.0×
Eri Segi‐Nishida · 1×
Citations per year

Countries citing papers authored by Zhen‐Zhong Xu

Since Specialization
Citations

This map shows the geographic impact of Zhen‐Zhong Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhen‐Zhong Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen‐Zhong Xu more than expected).

Fields of papers citing papers by Zhen‐Zhong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐Zhong Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhen‐Zhong Xu. The network helps show where Zhen‐Zhong Xu may publish in the future.

Co-authorship network of co-authors of Zhen‐Zhong Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen‐Zhong Xu. A scholar is included among the top collaborators of Zhen‐Zhong Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhen‐Zhong Xu. Zhen‐Zhong Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 18
2 50
3 23
4 57
5 24
6 4
7 13
8 203
9 242
10
Emerging targets in neuroinflammation-driven chronic painbreakdown →
822
11 62
12 100
13 16
14 211
15 196
16
Resolvins RvE1 and RvD1 attenuate inflammatory pain via central and peripheral actionsbreakdown →
480
17 4
18 23
19 118
20 337

About Zhen‐Zhong Xu

Zhen‐Zhong Xu is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Physiology, having authored 56 papers that have together received 7.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (35 papers), Neuropeptides and Animal Physiology (19 papers) and Ion Channels and Receptors (9 papers). The work is most often cited by research in Physiology (3.8k citations), Cellular and Molecular Neuroscience (2.2k citations) and Sensory Systems (578 citations). Zhen‐Zhong Xu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ru‐Rong Ji, Yong‐Jing Gao, Temugin Berta, Charles N. Serhan, Chul‐Kyu Park, Jong Yeon Park, Ling Zhang, Tong Liu, Ning Lü and Yasuhiko Kawasaki. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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